| 2025 | PRICAI | A Consistent Lebesgue Measure for Multi-label Learning. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2024 | CEC | Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. | Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen |
| 2024 | GECCO | Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2023 | GECCO | Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2022 | GECCO | Particle swarm optimisation for sparsity-based feature selection in multi-label classification. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2021 | CEC | Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2021 | GECCO | Sparsity-based evolutionary multi-objective feature selection for multi-label classification. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2020 | CEC | A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |